A New Graph Drawing Scheme for Social Network
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
With the development of social networks, people have started to use social network tools to record their life and work more and more frequently.
How to analyze social networks to explore potential characteristics and trend of social events has been a hot research topic.
In order to analyze it effectively, a kind of techniques called informationvisualization is employed to extract the potential information from the large scale of social network data and present the information briefly as visualized graphs.
In the process of information visualization, graph drawing is a crucial part.
In this paper, we study the graph layout algorithms and propose a new graph drawing scheme combining multilevel and single-level drawing approaches, including the graph division method based on communities and refining approach based on partitioning strategy.
Besides, we compare the effectiveness of our scheme and FM3 in experiments.
The experiment results show that our scheme can achieve a clearer diagram and effectively extract the community structure of the social network to be applied to drawing schemes.
American Psychological Association (APA)
Wang, Eric Ke& Zou, Futai. 2014. A New Graph Drawing Scheme for Social Network. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051643
Modern Language Association (MLA)
Wang, Eric Ke& Zou, Futai. A New Graph Drawing Scheme for Social Network. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051643
American Medical Association (AMA)
Wang, Eric Ke& Zou, Futai. A New Graph Drawing Scheme for Social Network. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051643